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CEC
2010
IEEE
13 years 4 months ago
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection
Multi-modal optimization refers to locating not only one optimum but a set of locally optimal solutions. Niching is an important technique to solve multi-modal optimization problem...
Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan
PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
14 years 2 months ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
AAAI
2007
13 years 10 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
ICCV
2003
IEEE
14 years 26 days ago
Unsupervised Non-parametric Region Segmentation Using Level Sets
We present a novel non-parametric unsupervised segmentation algorithm based on Region Competition [21]; but implemented within a Level Sets framework [11]. The key novelty of the ...
Timor Kadir, Michael Brady
MTA
2008
96views more  MTA 2008»
13 years 7 months ago
Proxy-assisted periodic broadcast for video streaming with multiple servers
Large scale video streaming over Internet requires a large amount of resources such as server I/O bandwidth, network bandwidth. A number of video delivery techniques can be used to...
Ewa Kusmierek, David Hung-Chang Du